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2007•Jiangsu Electrical EngineeringRequires access

The Power Fault Signal Detection Using Hilbert-Huang Transform

Zhihui Zhu

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Abstract

The method of Hilbert-Huang Transform(HHT) is proposed to analyze the fault signal in the power system.The current fault signal is successfully decomposed into a series of smooth Intrinsic Mode Functions(IMFs) by EMD.Hilbert spectrum and Hilbert marginal spectrum are obtained from Hilbert spectra analysis.Fault time can be detected by instantaneous frequency break and the real frequency of fault signal is analyzed by Hilbert marginal spectrum,which can provide the basis for the fault detection.Simulation results indicate that the HHT method can detect the fault time accurately.

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What this paper is about

The method of Hilbert-Huang Transform(HHT) is proposed to analyze the fault signal in the power system.The current fault signal is successfully decomposed into a series of smooth Intrinsic Mode Functions(IMFs) by EMD.Hilbert spectrum and Hilbert marginal spectrum are obtained from Hilbert spectra analysis.Fault time can be detected by instantaneous frequency break and the real frequency of fault signal is analyzed by Hilbert marginal spectrum,which can provide the basis for the fault detection.Simulation results indicate that the HHT method can detect the fault time accurately.

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Available abstract

The method of Hilbert-Huang Transform(HHT) is proposed to analyze the fault signal in the power system.The current fault signal is successfully decomposed into a series of smooth Intrinsic Mode Functions(IMFs) by EMD.Hilbert spectrum and Hilbert marginal spectrum are obtained from Hilbert spectra analysis.Fault time can be detected by instantaneous frequency break and the real frequency of fault signal is analyzed by Hilbert marginal spectrum,which can provide the basis for the fault detection.Simulation results indicate that the HHT method can detect the fault time accurately.

Key concepts: Hilbert–Huang transform, Fault (geology), Hilbert spectral analysis, Hilbert transform, SIGNAL (programming language), Algorithm, Spectral density, Power (physics)

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